What enterprises falling at Big Data management?

We have learned many successful cases implementing Big Data from different industries. Bloggers and experts keep talking why Big Data is good. Some companies did have wild success reporting, analyzing, and predicting their massive dataset in terms of Big Data, but there are thousands of companies struggling through the process of big data.  A new survey, From Overload to Impact: An Industry Scorecard on Big Data Business Challenges, sponsored by Oracle, asked 333 C-level executives in North America by phone or online about how they're handling the "data deluge" and how well they're able to extract business intelligence from it to "improve operations, capitalize on new opportunities, and drive new revenue." The score is from A to F, A represents best and F represents Worse. Since there are so many successful cases, I think the result should be pretty good. The answer is not. 29% of executives gave their organization a “D” or “F” in preparedness to manage the huge data flow, and 31% of executives gave a “C”. 38% of executives said they don’t have the right systems.

The most important problems is many businesses believe that they can purchase a software which can directly point out the problems and give the solution. Few days later, they even can have shiny reports and graphs from the software. There is another story.  A CIO ordered his staff to acquire hundreds of servers with the most capacity available. He wanted to proclaim to the world – and on his resume – that his company built the largest Hadoop cluster on the planet.  And that’s it. He doesn't have any plan to deal with his servers and data. He left after 2 years with no business case or Big Data business value.

However, Big data needs to be thought about from the highest levels to the lowest level, and starting with the question: “‘How can we better utilize the data we have to make better business decisions?’ This is very important because if these top managers don’t understand what Big Data can do, they will fall into the hell.

 References:

1. http://tdwi.org/articles/2012/07/31/big-data-management-failure.aspx

2. http://www.cio.com.au/article/434662/promise_lie_big_data/

3.http://paulbarsch.wordpress.com/2013/03/07/should-you-be-wary-of-big-data-success-stories/